Principal Data Scientist, Salesforce

• 10+ Years of Data Science Experience: Proven track record of leading complex AI and machine learning projects, preferably in cloud infrastructure or a related domain
• Advanced Degree in a Relevant Field: PhD or Master’s degree in Data Science, Machine Learning, Computer Science, Engineering, or a related technical field
• Experience in Cloud Infrastructure: Strong understanding of cloud platforms (AWS, GCP, or Azure), with experience in applying AI and data science to infrastructure management, capacity planning, or cloud cost optimization
• Demonstrated Leadership: Experience guiding teams and mentoring junior data scientists, with the ability to influence strategy and communicate technical concepts to stakeholders
• Strong Analytical and Problem-Solving Skills: Expertise in identifying key business challenges and developing data-driven solutions that improve performance and efficiency

Desirable

• We are seeking an innovative and driven Data Scientist with a strong focus on AI-driven solutions for large-scale infrastructure management to join our Cloud Economics and Capacity Management (CECM) team
• In this role, you will apply advanced AI, machine learning, and time series forecasting techniques to optimize the performance, capacity, and cost-efficiency of Salesforce's global cloud infrastructure
• A key responsibility will be leveraging data science to address critical cloud cost management challenges, such as predicting future resource needs, identifying inefficiencies, and automating cost-saving strategies across our infrastructure
• You will collaborate closely with cross-functional teams to design, implement, and maintain predictive models that enable Salesforce to scale operations while minimizing waste and maximizing return on infrastructure investments
• As a technical lead within the team, you will directly impact cloud cost efficiency and capacity planning through the development of cutting-edge AI solutions that support automation and enhance the scalability of our infrastructure
• Your contributions will help ensure that our cloud resources are utilized effectively, enabling Salesforce to meet the evolving needs of millions of users worldwide while keeping costs under control
• Design and Develop AI/ML Solutions: Lead the design, development, and deployment of AI-driven models, focusing on cloud infrastructure management, capacity planning, and cost optimization across Salesforce's global infrastructure
• Build and Maintain Predictive Models: Develop robust time series forecasting models and machine learning algorithms to predict infrastructure demand, resource utilization, and to inform cloud cost management strategies
• Optimize Cloud Costs and Efficiency: Apply data science techniques to drive automation in cloud cost management, improving infrastructure utilization while reducing waste, and providing insights for capacity and budget planning
• Collaborate Cross-Functionally: Work closely with internal teams such as Cloud FinOps, Capacity Planning, and Product Engineering to translate business needs into data-driven solutions that improve infrastructure scaling and operational performance
• Monitor and Iterate on Models: Ensure models remain accurate and reliable by continuously monitoring performance and making updates based on new data, system behavior, and evolving business requirements
• Influence and Drive Innovation: Act as a technical leader in AI and machine learning, promoting best practices and helping drive innovation in the use of AI for cloud management at scale